View source: R/quantify_verbatim.R
Regresses phrases on a quantitative variable from survey and produces a plot showing the associated change in quantitative if a particular phrase is used in the verbatim.
1 2 3 | quantify_verbatim(surveydata, tidydata, id = id, quant_var,
min_occur = 3, min_phrases = 25, max_phrases = 80,
pval_limit = 0.1, xreg = c(), remove_stop = TRUE)
|
surveydata |
Data frame with the survey data |
tidydata |
Data frame with the unnested phrases (usually from tidy_verbatim()) |
id |
Unique survey id. By default, can be omitted if column is named 'id' |
quant_var |
Numerical column in survey data frame on which phrases will be regressed |
min_occur |
Number of times a phrase must occur to be included |
min_phrases |
Force the plot to include at least this many phrases |
max_phrases |
Maximum number of phrases to show in plot |
pval_limit |
Threshold from 0 - 1. Phrases below the threshold will be highlighted on the plot. Default is 0.1 |
xreg |
Optional list of columns from survey data frame to be used as additional control variables in regression |
remove_stop |
Do you want to remove common "stop-words"? Applies only to single-word phrases ("unigrams"). If so, use TRUE |
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